At a Glance
- Tasks: Help train advanced AI systems by providing human feedback and optimising workflows.
- Company: Outlier, a leader in AI collaboration with innovative tech companies.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote work environment with exciting projects and career advancement.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 70000 € per year.
About the Project
Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.
Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.
- 2+ years of experience in backend engineering, AI automation, or complex systems integration.
- Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
- Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
- Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
Remote working/work at home options are available for this role.
ML Engineer (Remote) (Manchester) in London employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering remote work flexibility that allows you to thrive from the comfort of your home. With a strong focus on employee growth, we provide opportunities to work on cutting-edge projects that shape the future of AI, fostering a culture of continuous learning and development. Join us to be part of a dynamic team where your contributions directly impact the advancement of generative systems in a supportive and forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Remote) (Manchester) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or Twitter. Join relevant groups and participate in discussions to get your name out there and show off your passion for the field.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving backend engineering or AI automation. This will give potential employers a taste of what you can do and how you tackle complex systems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss your past experiences with multi-stage coordination tasks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace ML Engineer (Remote) (Manchester) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration, so don’t hold back!
Be Specific About Your Experience:When you describe your past projects, be specific about the technologies you used, especially if they relate to Python, JavaScript, or SQL databases. We love seeing concrete examples of your work!
Tailor Your Application:Don’t just send a generic application. Tailor your CV and cover letter to reflect the skills and experiences that match our job description. Show us why you’re the perfect fit for the ML Engineer role!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as they’ll likely ask you about database interactions during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built production-grade software. Highlight your experience with modular separation and how you’ve tackled complex systems integration. Real-world examples will make your skills stand out!
✨Understand AI Workflows
Since the role involves training AI agents, it’s crucial to understand multi-stage coordination tasks. Be ready to explain how you’ve designed workflows that lead to effective data acquisition and reasoning in your previous roles.
✨Remote Work Readiness
As this is a remote position, be prepared to discuss how you manage your time and stay productive while working from home. Share any tools or strategies you use to maintain communication and collaboration with your team.
